Column generation is a widely used dual-guided approach to solve highly degenerate problems. During the resolution, the degeneracy of the master problem ofte...

We consider an electricity supplier for a large commercial electric vehicle (EV) fleet. The supplier uses a dynamic pricing scheme for buying and selling ene...

Generalized smoothness assumptions have attracted growing attention in recent years, motivated in part by machine learning problems in which the gradient of ...

Equilibrium modeling for power markets usually assumes convexity of each players' optimization problem. Although the importance of accounting for fixed gener...

This paper introduces a two-stage stochastic quadratic knapsack problem (TSSQKP) with uncertainty in both profits and weights. To overcome the computational ...

We present optimization models that simultaneously determine ship path, speed profile, and hybrid power system operations. Our approach integrates solar phot...

The field of Blackbox Optimization (BBO) lacks publicly available realistic engineering benchmark problems. This work proposes Micro-PRIAD, a collection of...

This document contains the complete geometric derivations and analytical proofs supporting the results stated and used in the main manuscript. Results that ...

Large-scale distributed wireless networks that offer connectivity through multi-hop communication are considered for infrastructure-free, cost-effective conn...

Electricity planning has increasingly accounted for distributed renewable energy resources (DREs) and active consumer participation. However, existing planni...

An efficient and accurate evaluation of feature importance method for artificial intelligent and machine learning models without high computational costs is ...

This work introduces ADS-PB, an extension of the Adaptive Direct Search (ADS) framework for solving constrained blackbox optimization problems. With ADS, it...

Heavy-duty vehicles (HDVs) are a major source of road transportation emissions, yet their electrification remains challenging due to operational constraints....

Hydropower generation fulfills 94% of Québec’s electricity needs, making efficient Short-Term Hydropower Scheduling (STHS) critical for daily operations. Thi...

This work surveys the different parallel variants of the mesh adaptive direct search (MADS) algorithm for constrained blackbox optimization. These problems c...

Accurate estimation of metal accumulation in electric arc furnaces (EAFs) is critical for maintaining stable ferrosilicon (FeSi) production and ensuring effe...

Task offloading in edge computing becomes significantly more challenging when applications are modeled as Directed Acyclic Graphs (DAGs), where task dependen...

To meet the increasing demand for low-latency processing in mobile and IoT devices, edge computing offloads user application tasks to nearby cloudlets (edge ...

We study the solution of symmetric positive-definite linear systems by way of families of full- and limited-memory methods. Our contributions are threefol...

We consider the penalized security-constrained optimal power flow (SCOPF) problem in a linearized form where thermal line limits are enforced as soft constr...